Snack brand perceptual map.
A perceptual map places competing products on two dimensions that matter to buyers. It does not claim precise market data; it makes a positioning discussion visible. Start by selecting dimensions customers can recognize, such as price and protein, then place brands consistently using research, reviews, or team knowledge. The useful result is not the dots alone. It is the conversation about which positions are crowded, which customer needs are poorly served, and whether a proposed product can credibly occupy an open space. Revisit the map when the category, pricing, or customer priorities change, or new research becomes available to the team.
Open it in the AI editor with a prompt pre-filled — keep what works, change what doesn't.
Scenario
A snack team is reviewing a crowded category before defining a new product.
Key decisions
- Choose axes: Price and protein separate the main product claims.
- Plot competitors: Place each brand relative to the same two perceptions.
- Find whitespace: Look for an under-served position before setting the offer.
When to reuse this
Use this when the two dimensions reflect how customers compare alternatives.
Frequently asked questions
What is a perceptual map?
How do I choose axes?
Does a perceptual map need survey data?
Tweak it with chat, export PNG/SVG, or fork it for your own use case.